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nassaj2011nassaj2011/claude-skills-for-chatgpt/skills/qa-test-strategy/SKILL.md

qa-test-strategy

Skill0 starsChanged 25 days agoMITView on GitHub

Create balanced automated test portfolios including unit, contract, integration, security, failure and performance checks. Use when planning test coverage or regression prevention.

3 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use deterministic data and reliable setup/teardown.

    line 11
  2. Distinctive:

    Do not describe proposed tests as passed tests.

    line 16
  3. Very specific:

    Use examples/reference-platform/tests for invariant/negative/concurrency tests, examples/frontend-rtl/ui.test.mjs for pure UI-state tests …

    line 20

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Risk-based automated testing

  1. Identify business-critical journeys and consequences of failure. Prioritize money, access, data integrity, customer-facing continuity and integrations.
  2. Inventory existing test runners, fixtures, CI time budget and coverage gaps from repository evidence.
  3. Define a layered strategy: fast unit tests for rules, contract/integration tests for boundaries, E2E for essential journeys.
  4. Include negative tests, validation, permissions, retry/idempotency, concurrency, timeout, timezone/localization and migration compatibility where relevant.
  5. Use deterministic data and reliable setup/teardown. Distinguish mocks from real integration; minimize flaky sleeps.
  6. Capture command, environment, commit and pass/fail/not-run for every executed check.
  7. Define quality gates proportional to risk, not arbitrary 100% coverage targets. Identify what remains untested.

Output: test pyramid/matrix, test IDs, fixture needs, CI stages, execution evidence and next high-value tests. Do not describe proposed tests as passed tests.

Runnable example portfolio

Use examples/reference-platform/tests for invariant/negative/concurrency tests, examples/frontend-rtl/ui.test.mjs for pure UI-state tests and examples/observability-gate/test_gate.py for deterministic quality checks. Add request/contract/browser tests separately for a full test pyramid. Record test runner output, commit and environment; never claim E2E coverage from pure function tests.

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